Resources, conservation & recycling advances最新文献

{"title":"Recycling shopping behaviour in Australian circular economy: An examination through central and peripheral routes","authors":"Dung Trung (Ben) Nguyen,&nbsp;Clare D’Souza","doi":"10.1016/j.rcradv.2025.200280","DOIUrl":"10.1016/j.rcradv.2025.200280","url":null,"abstract":"<div><div>Under the operation of circular economy to tackle the waste crisis in Australia, there is an imperative call for boosting consumers’ recycling shopping behaviour. Part of the process lies in recyclable packaging and how consumers make purchase decisions based on these types of packaging’s information. Despite the urgency, how consumers process and respond to recyclable packaging cues – the very communication of packaging recyclability, including packaging materials, colour, and recycling signs remains equivocal in both literature and practice. The paper proposed an integrated framework by combining the Elaboration Likelihood Model and Theory of Planned Behaviour, in which the motivations and outcomes of both central and peripheral routes of processing these cues on recyclable packaging were explored, examining how each processing route would result in differentiated influences on purchasing intention. This is considered within the context of fast-moving consumer goods. Using Structural Equation Modelling and AMOS 29 software, the research confirmed the sole effect of the central route on attitudinal change through semiotic knowledge as a new construct and mediator, addressing the limitations of the Elaboration Likelihood Model and the issue of the circular economy in consumers’ dimensions. Recommendations were proposed to manufacturers in retail environments and policymakers towards enhancing consumers’ knowledge of recycling signs for circular economy. Through the introduction of semiotic knowledge, the research makes crucial theoretical contributions to addressing packaging waste by extending the two models and provides scholars and practitioners with an understanding of the implications involved and how they can assist in achieving a circular economy.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200280"},"PeriodicalIF":6.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning applications for carbon emission estimation","authors":"Hala Salem Al Nuaimi ,&nbsp;Adolf Acquaye ,&nbsp;Ahmad Mayyas","doi":"10.1016/j.rcradv.2025.200263","DOIUrl":"10.1016/j.rcradv.2025.200263","url":null,"abstract":"<div><div>In the context of escalating global climate change concerns, accurately estimating carbon emissions is crucial. This paper conducts a systematic literature review (SLR) on the application of machine learning (ML) techniques for estimating current and future carbon emissions. The study aims to evaluate the effectiveness of various ML algorithms across different sectors, identify sector-specific opportunities, and propose enhancements for ML-based carbon emission estimation.</div><div>The review highlights significant progress in the transportation sector, with notable research focusing on vehicle emissions. However, it identifies untapped potential in the energy and industrial sectors, where data accessibility and complexity pose challenges. The paper discusses the applicability of commonly used ML algorithms, including Artificial Neural Networks, Ensemble Methods, Support Vector Machines, and Extreme Learning Machines, emphasizing their strengths and limitations in different contexts. Key methodologies for improving ML performance in carbon emission estimation include hybrid modeling techniques, optimization algorithms, influential factor analysis, and data estimation methods. Despite advancements, challenges such as computational complexity, data quality, and model interpretability persist. The paper recommends enhancing optimization techniques, advancing predictor analysis, improving data collection practices, and focusing on sector-specific applications to address these issues.</div><div>By synthesizing existing knowledge and identifying critical research gaps, this study provides actionable insights to advance future research in ML-based carbon emission estimation. The main contribution of this work lies in its focus on practical aspects, rather than theoretical limitations of models, as emphasized in many existing studies. It highlights model performance in real-world scenarios, identifies key factors that restrict the efficient implementation of certain ML models in practice. Furthermore, the study presents a comprehensive guidance framework to provide an overview of the field and practical direction for application of machine learning in carbon emission estimation, paving the way for more effective real-world applications.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200263"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Embodied Water in the building life cycle: current research and future directions","authors":"Namal Gamage,&nbsp;Srinath Perera,&nbsp;Sepani Senaratne,&nbsp;Sameera Pathirana","doi":"10.1016/j.rcradv.2025.200283","DOIUrl":"10.1016/j.rcradv.2025.200283","url":null,"abstract":"<div><div>Water, recognised as a scarce resource, has been considered for sustainable development goals (SDG-6) and acknowledged 2018–2028 as the water action decade. Water is essential for the construction industry, and it consumes around 15–16 % of the global freshwater. While water is directly utilised for construction, for instance, in preparation of mortar, an enormous quantity of water is indirectly consumed through building materials, energy sources, etc. The combination of direct and indirect water components is termed Embodied Water (EW). Minimising EW throughout the building life cycle is imperative to drive towards sustainable development. However, EW has not yet received its due recognition as an essential element in evaluating the sustainability of the building life cycle, with limited research studies addressing its significance. Thus, this paper aims to analyse the contemporary status, barriers, strategies, research trends, and future directions of EW within the building life cycle. The systematic literature review approach was adopted to attain the aim of this paper. The results of this study reveal twenty-two barriers hindering the reduction of EW and twenty-eight strategies to overcome them. Frequent usage of high water-consuming materials, water and material wastage, and difficulties in estimating EW are some of the main barriers identified in this study. Selecting materials with low EW, effective and efficient usage of materials and machinery, and introducing water management-related policies are some of the key strategies derived from this research. Additionally, this paper presents nine research trends and fifteen prospective research avenues identified through existing studies.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200283"},"PeriodicalIF":6.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying random forest to forecast municipal solid waste generation from household fuel consumption","authors":"Luis Izquierdo-Horna ,&nbsp;Ramzy Kahhat ,&nbsp;Ian Vázquez-Rowe","doi":"10.1016/j.rcradv.2025.200264","DOIUrl":"10.1016/j.rcradv.2025.200264","url":null,"abstract":"<div><div>Accurately forecasting municipal solid waste (MSW) generation is essential for designing efficient waste management systems and promoting sustainable urban development. As cities expand and consumption patterns shift, reliable data-driven approaches are increasingly necessary to address the complexities of MSW generation. This study applied the random forest (RF) algorithm, a machine learning technique, to predict MSW generation at the household level. RF was selected for its capacity to handle non-linear relationships, imbalanced datasets, and outliers. The analysis focused on data from 2019, avoiding distortions associated with the COVID-19 pandemic. The model integrated per capita MSW data with household fuel consumption indicators (i.e., natural gas, electricity, and liquefied petroleum gas) and demographic variables such as age, education level, and monthly expenditure. The case study focused on the city of Lima, Peru, using 80 % of the data for training and 20 % for testing, with hyperparameters optimized via 5-fold cross-validation. The final model explained 55 % of the variance in MSW generation (R² = 0.55). This result reflects the model’s ability to capture significant drivers of variability, although it leaves room for refinement due to factors not included in the analysis, such as cultural practices or seasonality. Among the predictors, household monthly expenditure on cooking fuels emerged as the most influential variable, reinforcing the connection between resource consumption and waste generation. These findings highlight the potential of integrating socioeconomic indicators into predictive models to enhance their reliability. By improving forecasting capabilities, this study supports targeted policies for urban waste management and sustainable resource use.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200264"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enabling and embedding circularity goals in housing cooperatives","authors":"Wim Van Opstal ,&nbsp;Nancy Bocken ,&nbsp;Jan Brusselaers","doi":"10.1016/j.rcradv.2025.200272","DOIUrl":"10.1016/j.rcradv.2025.200272","url":null,"abstract":"<div><div>Shifting towards a circular economy in the built environment is considered an important step toward fostering environmentally sustainable and socially resilient cities. Housing cooperatives, established to provide affordable and democratically governed housing, may offer structural advantages for embedding circularity - but their role in circular transitions remains underexplored. This study investigates how cooperative governance may influence the implementation of circular strategies, including circular design, product-service systems, and shared resource models, across different housing types. Drawing on semi-structured interviews with housing professionals, cooperative representatives, service providers, and policymakers, we assess the comparative institutional advantages and limitations of cooperatives in enabling circular transitions. Our findings indicate that housing cooperatives can mitigate market failures and overcome split incentives through collective ownership, long-term planning, and participatory governance. These features help facilitate lifecycle-based investments, bundled procurement, and shared infrastructure. However, cooperatives also face key challenges, including complex decision-making, limited access to finance, and regulatory barriers. This paper contributes to the understanding of alternative housing models for urban sustainability by offering insights into how cooperative-led initiatives can support circular innovation. It identifies boundary conditions for aligning stakeholder perspectives and embedding circular strategies within cooperative housing, helping to inform inclusive, community-based responses to climate and resource challenges.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200272"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic literature review of simulation models for flows, markets, and sustainability of critical energy transition minerals","authors":"Şanser Güz,&nbsp;Shinsuke Murakami","doi":"10.1016/j.rcradv.2025.200271","DOIUrl":"10.1016/j.rcradv.2025.200271","url":null,"abstract":"<div><div>The accelerating global energy transition has heightened the demand for critical energy transition minerals which are essential for renewable energy technologies such as energy storage systems, electric vehicles, and equipment for wind and solar power. Simulation modeling has emerged as an important tool for exploring the complexities of critical minerals, assessing future availability, and informing sustainable resource management strategies. This study presents a systematic literature review of 91 simulation studies to provide a comprehensive structured overview and a practical reference to existing simulation approaches in this rapidly growing field while identifying remaining gaps in the literature. Studies are classified by simulation method, featured mineral type, geographic scope, temporal focus, and thematic focus. Our findings reveal that system dynamics and dynamic material flow analysis are the most commonly employed methods, with a growing trend toward hybrid modeling. While lithium, cobalt, nickel, and copper are frequently studied, minerals like graphite remain underrepresented. Furthermore, social and ecological impacts are often underexplored. We highlight the need for interdisciplinary simulation approaches that integrate social, economic, and environmental dimensions to address interconnected challenges of energy transitions, socio-environmental sustainability, and resource management.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200271"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industrial symbiosis readiness level assessment—A stakeholder co-designed matrix tool for guidance and evaluation","authors":"Lovisa. Harfeldt-Berg ,&nbsp;Elin. Wallin ,&nbsp;Annika. Löwgren ,&nbsp;Per. Sommarin","doi":"10.1016/j.rcradv.2025.200270","DOIUrl":"10.1016/j.rcradv.2025.200270","url":null,"abstract":"<div><div>The Industrial Symbiosis Readiness Level Matrix (ISRLM) tool presented in this paper, was developed to address the challenges inherent in implementing and managing Industrial Symbiosis (IS) networks. IS networks are complex systems involving diverse actors with varying levels of preparedness, perspectives, and priorities, which can result in miscommunication, inefficiencies, and slow implementation and development. To overcome these challenges, the ISRLM tool provides a structured framework for evaluating and visualizing IS readiness, facilitating discussions among actors, creating mutual understanding, and coordinating decision-making. The development of the ISRLM tool followed an iterative process that combined rigorous literature reviews, co-design through stakeholder interviews and workshops, as well as testing and validation within existing IS networks. Drawing on established concepts of readiness level evaluation and incorporating feedback and suggestions of improvement from practitioners and academics, the tool was refined through multiple cycles of testing and evaluation. This co-design approach ensured the tool's relevance and usability across various IS contexts. The ISRLM tool is developed as an interactive Excel-based tool that generates visual outputs based on actors’ evaluation of perceived readiness. It supports IS networks by guiding the implementation process, identifying readiness gaps, and enabling continuous evaluation and improvement. Applicable during both the initiation and development phases of IS collaborations, the tool can enhance trust, help align priorities, as well as guide and accelerate progress toward shared goals.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200270"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilization of fish sludge and aquaculture effluent water from Norway for nutrient and energy recovery","authors":"Hanna Böpple ,&nbsp;Gregorio Brussino ,&nbsp;Anton Engel ,&nbsp;Peter Breuhaus ,&nbsp;Nicole Dopffel ,&nbsp;Biwen Annie An-Stepec ,&nbsp;Dorinde M.M. Kleinegris ,&nbsp;Petronella Margaretha Slegers","doi":"10.1016/j.rcradv.2025.200256","DOIUrl":"10.1016/j.rcradv.2025.200256","url":null,"abstract":"<div><div>The Norwegian aquaculture industry is experiencing rapid growth. At the same time the demand for suitable aquaculture waste treatment is rising. This study aims to evaluate the environmental impacts of a waste-treatment process through anaerobic digestion and microalgae cultivation in Norway. This circular economy approach aims to recover nutrients and energy from an average land-based recirculating aquaculture system (RAS) with a production of 5000 tonnes of salmon yearly. In comparison, one of today's common solutions, the shipment of 50 % of the RAS fish sludge to Denmark for biogas production, was assessed as a baseline. A life cycle assessment showed that shipping 100 % of the fish sludge to Denmark for anaerobic digestion is more environmentally sustainable than releasing half of the fish sludge into the environment and only shipping 50 % to Denmark. Anaerobic co-digestion of fish sludge in Norway showed a lower environmental impact potential than the anaerobic digestion with fish sludge as the sole substrate (in Norway). The cultivation of microalgae in northern latitudes is highly energy demanding, which is one of the highest impact contributions of the value chain. National differences in the electricity grid composition (hydropower, other renewable energy, fossil energy) that is used for the respective scenarios in either Norway or Denmark, had a major impact on the assessment. A preliminary economic assessment showed that all scenarios had a decrease in operational costs compared to the baseline scenario due to the recycling of nutrients and produced energy from the RAS waste streams.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200256"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consumer awareness of marine debris issues and their willingness to pay for seafood from debris-free fishing grounds: A pathway for supporting marine debris recovery by fishers","authors":"Zhaofei Lin ,&nbsp;Takaaki Kato ,&nbsp;Aiko Endo","doi":"10.1016/j.rcradv.2025.200259","DOIUrl":"10.1016/j.rcradv.2025.200259","url":null,"abstract":"<div><div>Marine debris impacts marine ecosystems, food safety, and resource sustainability. Involving fishers is a practical solution for recovering marine debris. This study investigated Japanese consumer awareness of the issues surrounding marine debris and their willingness to pay for seafood from debris-free fishing grounds. The survey involved 1000 citizens from western prefectures in Japan near the Genkainada Sea area, where previous research reported a high density of marine debris. Results showed that 61 % of respondents preferred seafood from clean fishing grounds. A discrete choice experiment was conducted, and respondents were on average willing to pay at least 77 JPY more for an Aji (horse mackerel) menu if the seafood was from a debris-free fishing ground, equivalent to 4‒11 % of the typical prices of the menu. The demand for seafood from debris-free fishing grounds was much higher than the initial prediction based on interviews with fishery experts. Realization of this price premium would incentivize more fishers to recover marine debris. Currently, the Japanese retail market does not provide information on the status of marine debris in fishing grounds. If the traceability of the seafood supply chain can be improved, consumer purchasing behavior may change to support marine debris recovery efforts of fishers.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200259"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of toxic polycyclic aromatic hydrocarbons (PAH) in recycled plastics: A comparative study of LDPE, HDPE, PET, and PP","authors":"José Carlos Martín ,&nbsp;Julia Moltó ,&nbsp;Nuria Ortuño ,&nbsp;Andrés Fullana ,&nbsp;Juan Antonio Conesa","doi":"10.1016/j.rcradv.2025.200262","DOIUrl":"10.1016/j.rcradv.2025.200262","url":null,"abstract":"<div><div>Polycyclic aromatic hydrocarbons (PAHs) are toxic, potentially carcinogenic compounds that can be present in recycled plastics, raising concerns about human health and environmental safety. Despite their widespread use, recycled polymers are not routinely monitored for these contaminants. This study analysed 25 recycled plastic samples from recycling companies—including LDPE, HDPE, PET, PP, and polymer mixtures—to assess the presence of PAHs and evaluate an extraction method optimised for LDPE. The method's applicability to other polymer types was also explored, along with potential correlations between PAH levels and factors such as polymer type, origin, and colour. PAHs were extracted by stirring the samples for 24 h at room temperature in a 1:1 acetone/dichloromethane mixture, followed by purification using C18 solid-phase extraction cartridges. Results showed that PET samples had the lowest total PAH concentrations, often below detection limits. In contrast, one black LDPE sample exhibited the highest total PAH content at 2200 ng/g and toxicity value (68 ng TEQ/g). The study reveals significant variability in PAH content depending on polymer characteristics and recycling processes. These findings highlight the limitations of current industrial washing methods in removing persistent organic contaminants and underscore the need for improved control strategies and regular monitoring to ensure the safety of recycled plastics.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"27 ","pages":"Article 200262"},"PeriodicalIF":5.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}